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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Curry, R.J. Marefat, M.M. Fan Yang |
| Copyright Year | 2005 |
| Description | Author affiliation: Arizona Univ., Tucson, AZ, USA (Curry, R.J.; Marefat, M.M.; Fan Yang) |
| Abstract | With the fast increase in digital image data and its broad applications, an efficient image retrieval system is demanded. This paper proposes a content-based image retrieval system using similarity that capitalizes on the complementary advantages of both current methods, which arc Retrieval by Image Example (RIE) and Retrieval by Semantic Content (RSC). A list of exemplar images is generated from a content-based image synthesis system, and then is used as examples in a GNU Image Finding Tool (GIFT) for image matching. Queries on battlefield images will be tested as experiments and the results are discussed for different two image matching algorithms. The analysis on the results show that image retrieval through semantic queries can be accomplished using the approach described in this paper. |
| Sponsorship | IEEE Boston Sect |
| Starting Page | 629 |
| Ending Page | 634 |
| File Size | 1797621 |
| Page Count | 6 |
| File Format | |
| ISBN | 078039013X |
| DOI | 10.1109/KIMAS.2005.1427157 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-04-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Content based retrieval Image analysis Image databases Digital images Image matching Image retrieval Image generation Information retrieval Libraries Testing |
| Content Type | Text |
| Resource Type | Article |
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